The Exponentiated Fréchet Generator of Distributions with Applications
In this article, we introduce the exponentiated Fréchet-G family of distributions. Several models of the introduced exponentiated Fréchet-G family are presented. The proposed family is precisely more flexible and effective in modeling complex data and is instrumental in reliability analysis. It cove...
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doaj-52e7779e3c814b51ba8712b742346f152021-03-30T23:05:46ZengMDPI AGSymmetry2073-89942021-03-011357257210.3390/sym13040572The Exponentiated Fréchet Generator of Distributions with ApplicationsLamya A. Baharith0Hanan H. Alamoudi1Department of Statistics, Faculty Science, King Abdul-Aziz University, Jeddah 21589, Saudi ArabiaDepartment of Statistics, Faculty Science, King Abdul-Aziz University, Jeddah 21589, Saudi ArabiaIn this article, we introduce the exponentiated Fréchet-G family of distributions. Several models of the introduced exponentiated Fréchet-G family are presented. The proposed family is precisely more flexible and effective in modeling complex data and is instrumental in reliability analysis. It covers a wide variety of shapes, such as unimodal, reverse J, right-skewed, symmetrical, and asymmetrical shapes. Various structural mathematical properties, such as the quantile, moment, incomplete moment, entropy, and order statistics, are derived. The parameters are evaluated using a parametric estimation method. The performance and flexibility of the exponentiated Fréchet-G family are analyzed via a simulation and two applications; one deals with reliability data, and the other deals with medical data.https://www.mdpi.com/2073-8994/13/4/572probability distributionsexponentiated Fréchet distributionorder statisticsentropy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lamya A. Baharith Hanan H. Alamoudi |
spellingShingle |
Lamya A. Baharith Hanan H. Alamoudi The Exponentiated Fréchet Generator of Distributions with Applications Symmetry probability distributions exponentiated Fréchet distribution order statistics entropy |
author_facet |
Lamya A. Baharith Hanan H. Alamoudi |
author_sort |
Lamya A. Baharith |
title |
The Exponentiated Fréchet Generator of Distributions with Applications |
title_short |
The Exponentiated Fréchet Generator of Distributions with Applications |
title_full |
The Exponentiated Fréchet Generator of Distributions with Applications |
title_fullStr |
The Exponentiated Fréchet Generator of Distributions with Applications |
title_full_unstemmed |
The Exponentiated Fréchet Generator of Distributions with Applications |
title_sort |
exponentiated fréchet generator of distributions with applications |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2021-03-01 |
description |
In this article, we introduce the exponentiated Fréchet-G family of distributions. Several models of the introduced exponentiated Fréchet-G family are presented. The proposed family is precisely more flexible and effective in modeling complex data and is instrumental in reliability analysis. It covers a wide variety of shapes, such as unimodal, reverse J, right-skewed, symmetrical, and asymmetrical shapes. Various structural mathematical properties, such as the quantile, moment, incomplete moment, entropy, and order statistics, are derived. The parameters are evaluated using a parametric estimation method. The performance and flexibility of the exponentiated Fréchet-G family are analyzed via a simulation and two applications; one deals with reliability data, and the other deals with medical data. |
topic |
probability distributions exponentiated Fréchet distribution order statistics entropy |
url |
https://www.mdpi.com/2073-8994/13/4/572 |
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